Sparse-promoting Full Waveform Inversion based on Online Orthonormal Dictionary Learning

16 Nov 2015Lingchen ZhuEntao LiuJames H. McClellan

Full waveform inversion (FWI) delivers high-resolution images of the subsurface by minimizing iteratively the misfit between the recorded and calculated seismic data. It has been attacked successfully with the Gauss-Newton method and sparsity promoting regularization based on fixed multiscale transforms that permit significant subsampling of the seismic data when the model perturbation at each FWI data-fitting iteration can be represented with sparse coefficients... (read more)

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